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Full-Stack Data Analysis

A full-stack data analyst manages the entire data workflow, from collecting and storing raw data to cleaning, analyzing, and visualizing it, ensuring seamless insights and data-driven decisionmaking.

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* EMI Options Available

Job Assistance

For Pro Plan

Duration

12 Months

Mode of Class

Online /

Delivery Mode

Live + Recorded

Tools Covered

10+ Tools

About Full-Stack Data Analysis

✔
Industry Expert-Led Sessions

Learn directly from experienced Data Analysts and Engineers working in top companies.

✔
Hands-On Projects

Work on real-world datasets and build dashboards, pipelines, and reports.

✔
Career Support

Get resume reviews, mock interviews, and guidance to land your first data role.

✔
Collaborative Learning

Join a peer network of data learners and collaborate on group projects.

✔
Job-Ready Skills

Master Excel, Python, Pandas, MySQL, and data visualization tools used in the industry.

✔
Certification

Earn a professional certificate after completing all modules and the capstone project.

Full-Stack Data Analysis Course

Exclusive Course Offerings

Real-World Relevant Syllabus

All-in-One Learning Material

Interactive Live Classes

Hands-on Final Project

Practical Exercises & Assessments

Certification of Completion

Career Guidance & Interview Prep

24x7 Learning Assistance

Master These Tools

Course Curriculum

Module 1 Lectures: Excel Interface & Navigation
Module 2 Lectures: Basic Formulas & Functions
Module 3 Lectures: Data Cleaning & Filtering
Module 4 Lectures: Conditional Formatting & Charts
Module 5 Lectures: Pivot Tables & Data Summary
Module 6 Lectures: Introduction to Data Types & Structures
Module 1 Lectures: Python Setup & Basics
Module 2 Lectures: Core Python Syntax & Data Types
Module 3 Lectures: Control Flow & Functions
Module 4 Lectures: Collections & File Handling
Module 5 Lectures: Mini Project – Python Basics
Module 1 Lectures: Introduction to Data Analysis & Environment Setup
Module 2 Lectures: Working with NumPy
Module 3 Lectures: Working with Pandas
Module 4 Lectures: Data Cleaning, Analysis & Visualization
Module 5 Lectures: Mini Projects – Data Analysis
Module 1 Lectures: Introduction to Databases & MySQL Setup
Module 2 Lectures: Understanding Tables, Keys & Relationships
Module 3 Lectures: SQL Queries – CRUD Operations
Module 4 Lectures: Filtering, Sorting & Aggregation
Module 5 Lectures: Joins, Subqueries & Advanced SQL
Module 6 Lectures: Connecting MySQL with Python (Pandas)
Module 1: Sales Dashboard Project
Module 2: Customer Churn Analysis
Module 3: Data Cleaning & Automation Scripts
Module 4: Mini Data Pipeline
Module 1: Working with APIs
Module 2: Web Scraping Basics
Module 3: Introduction to Time-Series
Module 4: Excel Automation with Python
Module 1: Capstone Project – Dataset Selection & Planning
Module 2: End-to-End Data Analysis Workflow
Module 3: Visualization & Dashboard Creation
Module 4: Resume, Interview & Placement Prep
Module 1: Excel Automation with Python
Module 2: Automating Data Workflows
Module 3: Mini Projects – Automation & Reporting
Module 1: Quantitative Aptitude
Module 2: Logical Reasoning
Module 3: Data Interpretation
Module 1: Communication Skills
Module 2: Teamwork & Collaboration
Module 3: Interview Preparation & Mock Sessions
Download Curriculum

Build Projects from Scratch

Rock Paper Scissors Game
Rock Paper Scissors

Create a simple console or Tkinter-based game where users play against the computer using random choice logic.

Snake Game
Snake Game

Use the Pygame library to build the classic Snake game — move, grow, and avoid hitting walls or yourself.

Tic Tac Toe Game
Tic Tac Toe

Develop a 2-player Tic Tac Toe game using Python logic or Tkinter GUI with win/draw detection.

Quiz Game
Python Quiz Game

Build a quiz game that asks random questions, tracks the score, and gives instant feedback to the user.

Hangman Game
Hangman Game

Create the classic Hangman game using Python loops and conditionals — guess the word letter by letter!

Number Guessing Game
Number Guessing Game

Make a fun random number guessing game using Python’s random module and conditional logic.

Memory Puzzle
Memory Puzzle Game

Develop a card-matching memory game using Pygame or Tkinter with randomized tiles and scoring.

Flappy Bird Clone
Flappy Bird Clone

Recreate the popular Flappy Bird using Pygame — implement gravity, obstacles, and scoring system.

Students' Project Showcase

Project 1
Unfilterd Banda SSC

Built with JavaScript & PHP (Live Project)

Biswadeep
Biswadeep Singh
Full-stack Developer
View Demo
Project 2
Goju Shinryu

Built in MERN (Live Project)

Priyanshu
Priyanshu Kumar
Full-stack Developer
View Demo
Project 3
Colour Change Project

HTML, CSS, JS Project

Priyanka
Priyanka Kumari
Web Developer
View Demo
Project 4
Inquire Quora

Built in React and Tailwind

Sristi
Sristi Kumari
Web Designer
View Demo
Project 4
Delicate Dusk

Built in React and Tailwind

Vinisha Victor
Web Designer
View Demo

Meet your Mentors

Mentor 1
Abhishek Prasad

Full Stack Development · Digital Marketing · Data Analytics

5+ Years
Work Exp
4+ Years
Teaching

Academic Coordinator – ASP Computer Coding

Choose Your Plan

🔶
Basics
₹ 6,999 ₹ 9,999

Start Learning Today!

Enroll Now
Learning Mode

Flexible Video Lessons – Learn anytime with full access to structured modules at your own pace.

Certification

Receive an official certificate upon completion.

Case Studies & Masterclasses

Not included in this plan

Doubt Sessions

1 Live Doubt Clearing Session every Sunday

Assignments

Not included

Career Support

Not included

Ideal for self-learners who prefer flexible and independent learning.
🟦
Premium
₹ 12,999 ₹ 17,999

Enroll Now!

Buy Now
Delivery Mode

Hybrid – Weekly access to recorded lectures + Live weekend revision sessions

Certification

Professional Certificate upon successful completion.

Case Studies & Masterclasses

2 Live Case Studies + Monthly Masterclasses

Doubt Sessions

7 Live Doubt Sessions – Mon to Sun

Assignments

Regular Assignments with written solutions and evaluation.

Job Assistance

Not included

Recommended – Structured learning with mentor support.
💎
Pro Recommended
₹ 38,999 ₹ 39,999

Enroll Now!

Buy Now
Delivery Mode

Hybrid – Weekly recorded content + Live weekend sessions

Certification

Advanced Certificate upon successful completion.

Case Studies & Masterclasses

2 Live Case Studies + Monthly Masterclasses + AI learning modules

Doubt Sessions

7 Live Doubt Sessions – Mon to Sun

Eligibility

Participants must hold a valid degree. Diploma holders or high school graduates are not eligible.

Job Assistance

Complete Career Support – Mock Interviews, Career Guidance, and Placement Assistance.

Best for professionals & job-seekers – complete learning + career support.
* All plans include No Cost EMI options up to 11 months.

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Get Certificate

Full Stack Development Course

You will be able to generate the certificate for course of completion:

  • Complete at least 60% of the video lectures
  • Score a minimum of 60% in Quizzes & Assignments
  • The above criteria apply only for earning the course completion certificate.
    For job assistance eligibility, please refer to the FAQs.
Certificate Preview
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Student Success Stories

❝

This course changed my life! The projects and clear teaching helped me move from beginner to a Frontend Developer at TCS.

Subhudip
Subhudip
❝

The practical projects made all the difference. Got my first job as a MERN Stack Engineer right after finishing.

Priyanshu
Priyanshu
❝

The AI module was amazing! It helped me land a role in AI Automation at Tech Mahindra.

asiya
Asiya
❝

I started with zero coding knowledge and now I’m doing a Full Stack Internship. Couldn’t be happier!

jeet
Jeet
❝

The mentors explained everything clearly. The real-world projects made my portfolio stand out.

anamika
Anamika

Talk to Our Counsellor

Get Expert Advice — our Counsellor will reach within 24 hours

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Full Stack Development Course

Enhance your skills with our Data Analysis Course at ASP Computer Coding, combining classroom learning, AI tools, and real-world case studies for an immersive hands-on experience. This course is ideal for learners who prefer structured in-person training and interactive peer collaboration.

Our comprehensive program covers Python programming, data cleaning, visualization, SQL, Power BI, and Excel automation — guiding you from data collection to insight generation. Designed for both beginners and professionals, this course helps you build a strong foundation in data analytics, empowering you to solve real-world business problems confidently.

Why Choose ASP Computer Coding Data Analysis Course?

  • Structured Classroom Learning: Learn directly from experienced data professionals with personalized mentorship and live problem-solving sessions.
  • Industry-Relevant Curriculum: Master tools like Python, Pandas, NumPy, MySQL, Power BI, Excel, and APIs aligned with current data industry standards.
  • Hands-on Project Work: Work on real-world datasets and projects including sales analysis, financial forecasting, and data visualization dashboards.
  • Career Assistance: Get help with resume building, interview preparation, case study discussions, and placement guidance from our expert mentors.
  • Certification: Earn a Data Analysis Certification from ASP Computer Coding upon successful course completion.
Month 1–2: Excel Basics & Introduction to Data
  • Excel interface & navigation
  • Basic formulas & functions
  • Data cleaning & filtering
  • Conditional formatting
  • Charts and Pivot Tables
  • Introduction to data types and structures
  • Mini Project: Sales Report Dashboard in Excel
Month 3: Python Fundamentals
  • Installing Python, Jupyter Notebook & VS Code
  • Variables, Data Types, Conditionals
  • Loops, Functions & Error Handling
  • Working with Lists, Tuples, Dictionaries, and Sets
  • File Handling with CSV, TXT, and JSON
  • Mini Project: Student Marks Analyzer / Simple Expense Tracker
Month 4–6: Data Analysis with Pandas & NumPy
  • Introduction to Pandas: Series & DataFrames
  • Reading & Writing Data (CSV, Excel, JSON)
  • Data Cleaning: Missing Values, Duplicates
  • Data Wrangling & Transformation
  • Aggregation and GroupBy Operations
  • Merging, Joining, and Concatenation
  • Descriptive Statistics & Exploratory Data Analysis (EDA)
  • Data Visualization with Matplotlib & Seaborn
  • Mini Project: Superstore Sales & Profit Analysis
Month 7–8: MySQL for Data Storage & Queries
  • Installing MySQL & Using MySQL Workbench
  • SQL Basics: SELECT, WHERE, ORDER BY, LIMIT
  • JOINS, GROUP BY, HAVING Clauses
  • Understanding Data Types and Relationships
  • Creating & Managing Tables and Databases
  • Connecting Python with MySQL (mysql-connector / SQLAlchemy)
  • Storing & Retrieving Data with Python Scripts
  • Mini Project: Retail Sales Database Query Analysis
Month 9–10: Real-World Projects
  • Sales Dashboard (Excel + Python)
  • Customer Churn Analysis (Pandas + SQL)
  • Data Cleaning & Automation Scripts
  • Building a Mini Data Pipeline (Import → Clean → Store → Report)
  • Project: Analyze and Present Real Business Data
Month 11: Advanced Topics
  • Working with APIs for Data Extraction
  • Web Scraping Basics (BeautifulSoup / Requests)
  • Time-Series Data Basics
  • Excel Automation with Python (openpyxl, xlsxwriter)
  • Mini Project: Automated Excel Report Generator
Month 12: Capstone Project & Placement Preparation
  • Choose a Real-World Dataset
  • End-to-End Workflow: Collect → Clean → Analyze → Visualize
  • Presentation of Dashboard / Final Report
  • Resume Review & LinkedIn Optimization
  • Mock Interviews & Job Preparation
  • Capstone Project: End-to-End Business Data Analysis
What You'll Need
  • Laptop or Desktop Computer
  • Internet Connection (for online learners)
  • Basic Computer Literacy
Outcomes
  • Perform real-world data analysis using Python & Pandas
  • Clean, manipulate & visualize large datasets
  • Write SQL queries to interact with databases
  • Build automated dashboards & reports
  • Develop data workflow automation scripts
  • Qualify for roles like: Data Analyst, Junior Data Engineer, Reporting Analyst
Certifications & Support
  • Certificate of Completion from ASP Computer Coding
  • Project Review & Personalized Feedback
  • Career Guidance & Placement Support (Pro Learners)
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Still Confused?

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Frequently Asked Questions

What is this course about, and who is it for?
This Full-Stack Data Analysis course is designed for students and professionals who want to master data analysis from scratch. You’ll learn Excel, Python, Pandas, MySQL, and real-world data projects — preparing you for data-driven roles in any industry.
What are the prerequisites for enrolling in this course?
You only need basic computer knowledge. No prior programming experience is required — we start from the very basics and gradually move to advanced tools.
Is this course suitable for beginners?
Absolutely! The course begins with Excel and Python fundamentals, making it perfect for beginners and those switching careers to data-related fields.
What topics and tools are covered in the course?
You’ll learn Excel, Python, Pandas, NumPy, MySQL, APIs, Web Scraping, and Data Visualization using Matplotlib & Seaborn. Real-world case studies and projects are included.
What is the duration of the course, and how much time should I dedicate weekly?
The course runs for 12 months. We recommend dedicating 6–8 hours per week to learning and practicing the modules.
Will I get a certificate after completion?
Yes! You’ll receive an official Certificate of Completion from ASP Computer Coding after successfully finishing all modules and projects.
Does this course include placement assistance?
Yes, learners enrolled in the Pro Plan receive complete career support — including resume building, interview preparation, and placement guidance.
What kind of projects will I work on?
You’ll build multiple data projects like Sales Dashboard, Customer Churn Analysis, Data Cleaning Automation, and a Capstone Data Pipeline using Python and SQL.
This Full-Stack Data Analysis course is designed for students and professionals who want to master data analysis from scratch. You’ll learn Excel, Python, Pandas, MySQL, and real-world data projects — preparing you for data-driven roles in any industry.
You only need basic computer knowledge. No prior programming experience is required — we start from the very basics and gradually move to advanced tools.
Absolutely! The course begins with Excel and Python fundamentals, making it perfect for beginners and those switching careers to data-related fields.
You’ll learn Excel, Python, Pandas, NumPy, MySQL, APIs, Web Scraping, and Data Visualization using Matplotlib & Seaborn. Real-world case studies and projects are included.
The course runs for 12 months. We recommend dedicating 6–8 hours per week to learning and practicing the modules.
Yes! You’ll receive an official Certificate of Completion from ASP Computer Coding after successfully finishing all modules and projects.
Yes, learners enrolled in the Pro Plan receive complete career support — including resume building, interview preparation, and placement guidance.
You’ll build multiple data projects like Sales Dashboard, Customer Churn Analysis, Data Cleaning Automation, and a Capstone Data Pipeline using Python and SQL.
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